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11341 |
Remote sensing estimation of aboveground biomass of different forest types in Xinjiang based on machine learning
Enthalten in Scientific reports Bd. 15, 20.2.2025, Nr. 1, date:12.2025: 1-15
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11342 |
Remote sensing for land cover mapping across Victoria, Australia – a machine learning application
Enthalten in Scientific data Bd. 12, 3.4.2025, Nr. 1, date:12.2025: 1-12
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11343 |
Remote sensing with machine learning for multi-decadal surface water monitoring in Ethiopia
Enthalten in Scientific reports Bd. 15, 11.4.2025, Nr. 1, date:12.2025: 1-15
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11344 |
Reply to Letter to the Editor on “Not all biases are bad: equitable and inequitable biases in machine learning and radiology”
Enthalten in Insights into imaging Bd. 12, 3.11.2021, Nr. 1, date:12.2021: 1-2
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11345 |
Reply to: comment on “Early cancer detection by serum biomolecular fingerprinting spectroscopy with machine learning”
Enthalten in Light Bd. 14, 20.1.2025, Nr. 1, date:12.2025: 1-13
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11346 |
Reply to: Comment on “Machine learning enhanced analysis of EBSD data for texture representation”
Enthalten in npj computational materials Bd. 11, 17.3.2025, Nr. 1, date:12.2025: 1-3
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11347 |
Reply to: Machine learning-driven virtual biopsy system may increase organ discards at aggressive kidney transplant centers
Enthalten in Nature Communications Bd. 15, 29.11.2024, Nr. 1, date:12.2024: 1-2
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11348 |
Reply to: Machine-learning prediction of hosts of novel coronaviruses requires caution as it may affect wildlife conservation
Enthalten in Nature Communications Bd. 13, 12.9.2022, Nr. 1, date:12.2022: 1-3
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11349 |
Reply: metrics to assess machine learning models
Enthalten in npj digital medicine Bd. 1, 10.10.2018, Nr. 1, date:12.2018: 1-2
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11350 |
Report of RILEM TC 281-CCC: insights into factors affecting the carbonation rate of concrete with SCMs revealed from data mining and machine learning approaches
Enthalten in Materials and structures Bd. 57, 23.10.2024, Nr. 9, date:11.2024: 1-33
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